Resultados de investigación

This dataset comprises a comprehensive collection of tweets pertaining to Assets of Cultural Interest along the French Way in Castilla y León, spanning from January 1, 2009, to March 24, 2023. Assembled with the aid of the twarc2 Python package and academic access credentials, the dataset provides raw, unprocessed data for each cultural landmark, featuring a wide array of fields including text, date, language as identified by Twitter, author, number of retweets, and more., The authors would like to acknowledge the support and funding from the Spanish Ministry of Science and Innovation through its networks of excellence HAR2017-90883-REDC and RED2018-102518-T, and the project PID2020118906GB-I00, as well as from the Regional Government of Castilla y León - Department of Education (BDNS 425389), and the FWO-WOG (W001220N). Additionally, this work has been partially funded by the European Social Fund, through the predoctoral contract awarded to Silvia Díaz de la Fuente by the Department of Education of the Regional Government of Castilla y León. We acknowledge Santander Supercomputacion support group at the University of Cantabria who provided access to the supercomputer Altamira Supercomputer at the Institute of Physics of Cantabria (IFCA-CSIC), member of the Spanish Supercomputing Network, for performing processing work.

From late January to mid-April 2024, the Polymer Group at the University of Burgos conducted a citizen science initiative as part of the project "SMART POLYMERS: APPLICATION IN FOOD AND BIOMEDICAL SAFETY AND CONTROL, SUSTAINABLE CONSTRUCTION, AND BIOREMEDIATION" (Reference BU025P23), funded through the grant call of the applied science research projects support program of the Junta de Castilla y León. This initiative involved active participation of citizens in the research process, focusing primarily on sampling. Interested citizens contributed by sending water samples from both their household taps and public sources, springs, wells, and rivers. In total, 146 tap water samples from various towns/cities, 83 fountain samples, and 30 samples from other sources have been analyzed., The financial support provided by Fondo Europeo de Desarrollo Regional-European Regional Development Fund (FEDER, ERDF) and Regional Government of Castilla y León -Consejería de Educación, Junta de Castilla y León- (BU025P23) is gratefully acknowledged. This work was supported by the Regional Government of Castilla y León (Junta de Castilla y León) and by the Ministry of Science and Innovation MICIN and the European Union NextGenerationEU PRTR. Author Saul Vallejos received grant BG22/00086 funded by Spanish Ministerio de Universidades. We also appreciate the funding provided by grant TED2021-129419B-C21 funded by MCIN/AEI/10.13039/501100011033 and by the "European Union NextGenerationEU/PRTR."

The dataset contains all raw data of the work "Reusable and Effective Polyacrylic Membranes for Mecoprop and Bentazon Extraction", We gratefully acknowledge the financial support provided by all funders. The financial support provided by Fondo Europeo de Desarrollo Regional-European Regional Development Fund (FEDER, ERDF) and Regional Government of Castilla y León -Consejería de Educación, Junta de Castilla y León- (BU025P23) is gratefully acknowledged. This work was supported by the Regional Government of Castilla y León (Junta de Castilla y León) and by the Ministry of Science and Innovation MICIN and the European Union NextGenerationEU PRTR. Author J. M. García received grant PID2020-113264RB-I00 funded by MCIN/AEI/ 10.13039/501100011033 and by “ERDF A way of making Europe”. Author Saul Vallejos received grant BG22/00086 funded by Spanish Ministerio de Universidades. The authors also acknowledge Fundação para a Ciência e a Tecnologia (FCT), the Portuguese Agency for Scientific Research for the financial support through project UIDP/00313/2020. Tania Cova acknowledges the Junior Researcher Grant CEECIND/00915/2018 assigned by FCT. Gianluca Utzeri thanks FCT for the PhD grant SFR/BD/146358/2019.

The dataset for this study consists of public documents dealing with accounting for emission rights produced between 2003 and 2016. The dataset obtained from the EFRAG and IFRS archives consists in 68 primary documents (referenced in Supplementary_material_appendix Table A1), including IASB and FASB minutes, staff papers, ASAF minutes, agenda and research papers, meeting updates, and public reports. Additionally, the study analyzes 412 comment letters sent to four public consultations (referenced in Supplementary_material_appendix Table A2, Table A3, Table A4 and Table A5)., This work was supported by the Autorité des Normes Comptables under Grant CR 2016-012 and by Junta de Castilla y León (Grant BU029P23).

The dataset contains all raw data of the work "Efficient Extraction of Textile Dyes Using Reusable Acrylic-Based Smart Polymers", We gratefully acknowledge the financial support provided by all funders. This work was supported by the Regional Government of Castilla y León (Junta de Castilla y León) and by the Ministry of Science and Innovation MICIN and the European Union NextGenerationEU PRTR. Author Saul Vallejos received grant BG22/00086 funded by Spanish Ministerio de Universidades. Author Marta Guembe-García received funding from the Spanish Ministerio de Universidades-European Union under the framework of NextGeneration EU RD 289/2021 for her Post-Doc position. Author Jose Miguel García received grant PID2020-113264RB-I00 funded by MCIN/AEI/ 10.13039/501100011033 and by ""ERDF A way of making Europe"", and grant TED2021-129419B-C21 funded by MCIN/AEI/ 10.13039/501100011033 and by the ""European Union NextGenerationEU/PRTR"". The financial support provided by Fondo Europeo de Desarrollo Regional-European Regional Development Fund (FEDER, ERDF) and Regional Government of Castilla y León -Consejería de Educación, Junta de Castilla y León- (BU025P23) is gratefully acknowledged.

Los pacientes participantes en el estudio fueron aquellos atendidos por el Servicio de Urgencias Hospital del Complejo Hospitalario de Cáceres (España) entre enero de 2018 y diciembre de 2022 por algún tipo de quemadura. Variables recogidas: servicio de alta, sexo biológico (hombre, mujer), edad (años), fecha de ingreso, duración de la estancia (días), tipo de urgencia (pediátrica o adulta), clasificación según la norma estatal All Patients Refined - Diagnosis-Related Groups (APR-GRD) tipo de tratamiento (médico/quirúrgico), diagnóstico principal según la CIE-10 (T20, T21. .., T32), grosor de la piel afectada (parcial, completa, no declarada, superficie corporal, grado de quemadura (primera, segunda, tercera, no declarada), zonas afectadas (1, 2 o más, no declaradas), superficie corporal (parcial, completa, no declarada, superficie corporal no declarada), número de quemaduras (parcial, completa, no declarada, superficie corporal no declarada). T32), grosor de la piel afectada (parcial, completa, no consta), grado de la quemadura (primero, segundo, tercero, no consta), zonas afectadas (1, 2 o más, no consta), superficie corporal (según clasificación CIE-10), abordaje del tratamiento (externo, abierto, ambos, no consta), número de procedimientos necesarios, tipo de procedimiento realizado (sustitución, escisión, reparación, extirpación, amputación, traslado, liberación, cuidado de la herida, irrigación, vendaje, drenaje, transfusión, suplementación, inserción, inserción, soporte). La enfermería participa activamente en todos estos procedimientos, desempeñando un papel fundamental en cada uno de ellos.

The dataset contains all raw data of the work "Smart polymers and smartphones for Betalain measurement in cooked beetroots", We gratefully acknowledge the financial support provided by all funders. The financial support provided by Fondo Europeo de Desarrollo Regional-European Regional Development Fund (FEDER, ERDF) and Regional Government of Castilla y León -Consejería de Educación, Junta de Castilla y León- (BU025P23) is gratefully acknowledged. This work was supported by the Regional Government of Castilla y León (Junta de Castilla y León) and by the Ministry of Science and Innovation MICIN and the European Union NextGenerationEU PRTR. Author Saul Vallejos received grant BG22/00086 funded by Spanish Ministerio de Universidades. We also acknowledge the financial support provided by MCIN/AEI/ 10.13039/501100011033 and by “ERDF A way of making Europe” (grant PID2020-113264RB-I00).

The study of the use of metacognitive strategies during learning interaction in collaborative groups is considered referential for understanding the development of such strategies. The use of metacognitive strategies is related to better learning outcomes. We monitored the interaction in five collaborative groups at three points in time (initial, intermediate and final). These groups consisted of undergraduate health science (n = 9) and biomedical engineering students (n = 10). The aims were: 1) To check whether there were significant differences in the use of metacognitive strategies between the groups of students monitored depending on the type of degree or the point in time measurement. 2) To test whether there were significant differences in students' learning outcomes depending on whether or not they had participated in the interaction moni-toring during collaborative interaction. Test clustering without a pre-assignment variable against learning outcomes in collaborative groups. Significant differences were detected in the use of some of the metacognitive strategies of orientation, planning and elaboration in favour of the col-laborative groups of Biomedical Engineering students. Also, students who participated in moni-toring collaborative group in both clusters obtained better learning outcomes. Lastly, the assign-ment groups are exactly related to the collaboration groups with respect to the use of metacogni-tive strategies in the final measurement., This research was part of the project “Voice assistants and artificial intelligence in Moodle: a path to a smart university” -SmartLearnUni-. Project number: PID2020-117111RB-I00, funded by Agencia Estatal de Investigación. Ministerio de Ciencia e Innovación y Universidades. Gobierno de España.

The dataset contains all raw data of the work "Boosting m-aramids performance with p-oriented aromatic amide side chains", This work was supported by the Regional Government of Castilla y León (Junta de Castilla y León), the Ministry of Science and Innovation MICIN and the European Union NextGenerationEU/PRTR, and the Spanish Agencia Estatal de Investigación (State Research Agency). Author M. Trigo-López received grant PID2019-108583RJ-I00 funded by MCIN/AEI/ 10.13039/501100011033. Álvaro Miguel received funding from Ministerio de Universidades-European Union in the frame of NextGenerationEU RD 289/2021 (CA1/RSUE/2021-00409) by the Universidad Autónoma de Madrid.

Introduction: Clinical conditions affecting the hands are common and can have a significant impact on a person's quality of life. Patient-Reported Outcome Measures (PROMs) are considered the preferred method of assessing the results achieved from the patient's perspective. However, most of them have psychometric limitations. The HAND-Q is a new instrument built using a modern methodology that makes it possible to collect information on hand appearance, health-related quality of life (HRQoL), care experience and treatment from the perspective of patients with any type of congenital or acquired condition affecting the hands. Aim: The aim of this study was to translate, linguistically and culturally adapt and psychometrically validate the Function and Life Impact scales of the HAND-Q instrument, from the original in English, for the Portuguese population, guaranteeing their validity and reliability so that they can be used in clinical practice. Methods: The cultural and linguistic adaptation process will be carried out in two phases: Semantic equivalence, consisting of translation and retroversion; Content validation through a cognitive pre-test, using a sample of 5 to 15 patients with clinical hand conditions and clinical review of the quality of the translation by a panel of 5 to 7 experts. The pilot validation process will be carried out using a convenience sample of 30 participants with clinical conditions of the hand in the Adult Physical Medicine and Rehabilitation services of the ULS São José. Data collection will involve assessing grip strength (Activ5) and pain perception (VAS) and applying a set of questionnaires (Portuguese versions of the MMSE, the Function and Life Impact scales, the DASH and the EQ-5D) and a form on sociodemographic and clinical data. Results: We hope to obtain a consensus translation, adapted to the Portuguese population, which meets the expectations of professionals in the field and is clear to patients. It is also hoped that the translated scales will preliminarily have the validity and reliability to make them viable for use in clinical practice.